Algebraic Statistics 2020

2020年代数统计

基本信息

批准号：
2004271
负责人：
Elizabeth Gross
金额：
$ 3.42万
依托单位：
University of Hawaii
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-06-15 至 2022-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2004271&HistoricalAwards=false
关键词：
Algebraic Statistics 2020

项目摘要

Algebraic Statistics 2020 (AS2020) will be held June 22--June 26, 2020 at the University of Hawaii at Manoa in Honlulu, HI. The five-day conference at the University of Hawaii at Manoa aims to achieve four objectives: 1) provide a forum for algebraists, mathematical biologists, and statisticians to learn about recent advances in the field and share their current challenges; 2) broaden participation in algebraic statistics in terms of gender, race, ethnicity, institution type, geography, and scientific discipline; 3) train junior researchers in this interdisciplinary area, which requires exposure to both algebra and statistics; and 4) foster collaboration with international researchers, specifically those from Japan, who have been making fundamental progress in the field in the last two decades. Algebraic statistics is an interdisciplinary field that uses tools from commutative algebra, geometry, and combinatorics to address problems in mathematical statistics. The main applications in the last decade have focused on data science, biology, and engineering. Algebraic Statistics 2020 will feature nine keynote speakers, from the US and abroad, three problem sessions led by established researchers in the field to engage junior researchers and those interested in learning more about algebraic statistics, contributed talks, and a poster session. The conference website is http://bit.ly/AlgebraicStatistics2020.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

2020年代数统计（AS2020）将于6月22日至2020年6月26日在HI HONLULU的Manoa的夏威夷大学举行。夏威夷大学马诺阿大学举行的为期五天的会议旨在实现四个目标：1）为代数主义者，数学生物学家和统计学家提供一个论坛，以了解该领域的最新进展并分享他们当前的挑战； 2）在性别，种族，种族，机构类型，地理和科学纪律方面扩大了代数统计的参与； 3）在这个跨学科地区培训初级研究人员，该研究人员需要接触代数和统计数据； 4）培养与国际研究人员，特别是来自日本的研究人员，在过去的二十年中一直在该领域取得了基本进展。代数统计是一个跨学科领域，它使用交换性代数，几何学和组合学的工具来解决数学统计中的问题。过去十年中的主要应用集中在数据科学，生物学和工程上。 2020年代数统计数据将以美国和国外的九个主题演讲者为特色，由该领域的既定研究人员领导的三个问题会议，以吸引初级研究人员，并有兴趣了解更多有关代数统计的人，贡献了演讲和海报会议。会议网站是http://bit.ly/algebraicstatistics20202020.此奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来支持的。